Retailgrid: pricing software built for retailers who are done guessing

Your pricing lives in 20+ spreadsheets. Somebody screenshots competitor sites on Tuesdays. A category manager has a file with the "real" margin floors that only she understands. And every quarter, someone asks why gross margin moved and the honest answer is we're not entirely sure.

That is not a discipline problem. It is a tooling problem - and it is the exact problem Retailgrid was built to end.

What Retailgrid actually is

Retailgrid is retail pricing software for mid-market retailers and brands: €10M-€500M in revenue, thousands to hundreds of thousands of SKUs, and no appetite for a six-month enterprise rollout or a data science hire.

It is three connected layers, not a feature pile: AI Workspace - a grid that behaves like the spreadsheet your team already knows, wired to live market data and built to hold millions of rows without collapsing; agentic pricing - AI that recommends, explains, and applies price changes inside your rules; and price monitoring - competitor prices from marketplaces and DTC sites, refreshed every four hours, mapped to your SKUs out of the box.

Upload a CSV or connect Shopify or Magento. You are pricing on day one, not month six. Book a 20-minute demo.

Stop paying for competitor data you can't act on

Most teams already buy some form of competitor price tracking. The problem is that it lands in a separate dashboard, disconnected from the decision. You see that a rival dropped 8% on your top KVI. Then you export it, paste it into a file, and act on it two days later.

Retailgrid's price monitoring puts that data inside the grid where you set prices. Live competitor prices sit next to your cost, your margin, and your rules - in the same row. The gap between seeing a competitor move and responding to it collapses from days to minutes.

What you get:

• Broad coverage across marketplaces and direct-to-consumer sites, not just the two rivals you already watch.
• Automatic SKU matching, so you are not maintaining a mapping file by hand.
• Four-hour refresh, fast enough to catch flash promotions before they cascade.
• Price history and alerts, including minimum advertised price monitoring for brands enforcing MAP across resellers.
• Competitor CPI scoring, so you know your index position by category, not just SKU by SKU.

If you are currently running a generic web price tracker or a browser-based tool to watch a handful of product pages, you already know the ceiling. Those tools tell you a page changed. They do not tell you what to do about it, and they do not scale past a few dozen URLs.

Prices that move on their own - inside rules you wrote

Here is where most automated pricing tools lose retail teams: the recommendation arrives with no reasoning, the category manager can't defend it to the CFO, and within a month everyone is overriding the system.

Retailgrid's dynamic pricing works the opposite way. You describe the strategy in plain English - "match competitor minimum on KVIs, hold a 10% margin floor, cap daily change at ±10%, round to .99" - and Retailgrid translates it into structured, auditable rules your team can edit, reorder, scope by category, or override at any time.

Then every recommendation shows its math: which rules applied and which were violated, the feasible price range for that SKU, a margin impact preview before you commit, and a full log of every rule run, per SKU.

You approve in bulk or by exception. Nothing ships as a black box. This is what makes AI pricing survive contact with an actual pricing team - the model proposes, your rules constrain, and a human stays in control of the strategy.

Optimization that targets margin, not just position

Matching competitors is table stakes. Making money is the point.

Retailgrid's price optimization engine proposes the price that maximizes margin or revenue per SKU - scored for confidence, returned as a regular price, a promotion, or a markdown. It combines historical sales, seasonality, elasticity, and external market signals, and it follows an open data science approach: use the built-in models, plug in a third-party provider, or bring your own and compare which performs best on your catalog.

Real teams have measured around +3pp gross margin improvement, +5% revenue uplift on optimized SKUs, and +25% inventory productivity (GMROI). One online wine retailer cut repricing time by 90% and added 2.3% margin across 420+ optimized SKUs. A multi-brand fashion retailer cut planning time 60%, improved markdown efficiency 18%, and consolidated six tools into one.

Results vary by category and circumstance - which is exactly why you should run the numbers on your own catalog.

Where Retailgrid sits against the alternatives

If you have been comparing competitive pricing software, you have probably shortlisted a monitoring tool or two. Both are solid at what they do: they track competitors and report back. They are monitoring products.

The question worth asking is what happens after the alert. With a monitoring-only tool, the answer is: you export a file and go do the pricing somewhere else. That "somewhere else" is the spreadsheet chaos you were trying to escape.

Retailgrid closes that loop. Monitoring, analytics, optimization, and execution live in one workbook. You are not buying a price comparison feed and a pricing engine and a BI layer and stitching them together - you are buying the decision. Enterprise suites close the loop too. They also cost six figures and take six months. Retailgrid is built for the retailers in between.

Built by pricing operators, not consultants

Retailgrid is designed by former category managers and pricing analysts who ran pricing at omnichannel retailers. Every workflow in the product was a spreadsheet first - until it broke. That is why the grid feels like Excel, why the rules are editable rather than locked, and why nothing is a black box.

Headquartered in Helsinki, EU-hosted, GDPR-compliant, with built-in support for EU Omnibus prior-price requirements.

Try it before you talk to anyone

There is no signup wall. Click through the interactive demos - price optimization, dynamic and rules-based pricing, category strategy, zone pricing, dashboards - end to end, the same flow your team would run on day one. If you want a number before a conversation, run your catalog through the ROI calculator and see the gross-profit upside on your own volumes.

Then, when you are ready, book 20 minutes with someone who has actually done this job. Stop pricing in spreadsheets.